Dhruv Agrawal

Co-Founder

Gurgaon, Haryana, India14 yrs experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-founded a leading logistics technology company.
Achieved over 1 billion shipments processed annually.
Recognized as a top TMS vendor in Gartner Magic Quadrant.

Stackforce AI infers this person is a leader in logistics technology with a strong focus on AI-driven solutions.

Contact

Skills

Core Skills

Artificial IntelligenceProduct ManagementStrategyData AnalysisMedical Image AnalysisRobotics

Other Skills

AIAlgorithmsAutomation SolutionsBig DataCC++Classification MethodologyComputer VisionDesigningImage ProcessingInformation ArchitectureJavaLaTeXMachine LearningMatlab

About

As a co-founder and the COO of Shipsy, I drive our strategic vision to harness the power of AI to optimize global supply chains. Our platform, recognized globally for its effectiveness and innovation, processes over a billion shipments annually, helping businesses across industries enhance their logistics operations. Our team of over 200 ‘Shipsians’ is dedicated to pushing the boundaries of logistics technology, making significant impacts on how businesses manage and track their operations worldwide. Our journey from a startup to a leader in logistics technology reflects our commitment to excellence and innovation in every step we take.

Experience

Shipsy

Co Founder | COO

Jun 2015 – Present · 10 yrs 9 mos · Gurugram, Haryana, India

Shipsy was founded with a vision to revolutionize the logistics industry using AI and machine learning. Over the years, we have achieved significant milestones:
2016: Partnered with our first enterprise customer, DTDC Express, pioneering with our Last Mile solution.
2017: Developed comprehensive First and Middle mile modules, offering a full-stack solution to our customers.
2018: Onboarded our first international customer in Saudi Arabia and crossed 10 million shipments.
2020: Secured $6M in Series A funding from Sequoia Capital and Info Edge, growing our team beyond 100 people.
2021: Expanded internationally with a subsidiary in UAE and reached over 100 enterprise clients.
2022: Raised $25M in Series B funding led by A91, enhancing our global footprint with a second subsidiary in KSA and surpassing 1 billion shipments.
2023: Entered the European market, established a subsidiary in the Netherlands, and completed our first acquisition, Stockone WMS.
2024: Recognized in the Gartner Magic Quadrant as the highest-rated TMS vendor globally and expanded our customer base across six continents.
2025: Expanded to ANZ and UK as regional HQs. Recognized in the Gartner Magic Quadrant as for both TMS and WMS (APAC).
Shipsy is on a trajectory to not only lead but also innovate at the intersection of technology and logistics, propelling the industry towards a more connected and intelligent future.

Machine LearningData AnalysisProduct ManagementBig DataSystem DesignInformation Architecture+6

Deutsche bank

Strategy Quant, FX & Rates (Russia & CIS)

Jun 2013 – Jun 2015 · 2 yrs · Mumbai Metropolitan Region

As a part of the Quant and Macro Strategy team at Deutsche Bank, I focused on delivering actionable insights and strategic solutions for FX and Rates markets within Russia and the CIS region. My role required a deep understanding of macroeconomic trends, quantitative modeling, and financial market dynamics, enabling clients to navigate complex market conditions effectively.

Data AnalysisQuantitative Modeling

Ge global research

Research Intern, Medical Image Analysis Group

May 2012 – Jul 2012 · 2 mos · Bangalore

Worked with the Medical Image Analysis Group on developing new feedback technology for assisting in ECG (ultrasound) scanning and ultrasound image retrieval. Developed classification methodology that achieved accuracies at par with state-of-the-art proprietary techniques using a simpler algorithm. Published the work at ISBI (International Symposium on Biomedical Imaging) and filed a US Patent. Also received bonus award from GE.
Identification of the cardiac view (slice plane) in a echocardiogram frame that provides vital assistance to doctors and is useful for indexing, browsing and retrieval purposes in a clinical dataset.
Proposed a novel approach of Radially Gradient Orientation Histogram based on HOG
Achieved 98% accuracy on a comprehensive dataset using a RBF kernel SVM classifier

Medical Image AnalysisClassification Methodology

Carnegie mellon university

Visiting Researcher, Robotics Institute

May 2011 – Jan 2012 · 8 mos · Greater Pittsburgh Area

At CMU’s Robotics Institute and Field Robotics Center, I worked on cutting-edge automation solutions within agricultural robotics. My role involved leading and contributing to two major projects: Hydroponic Automation and Comprehensive Automation for Specialty Crops. Both projects aimed to leverage robotics, artificial intelligence, and advanced sensing technologies to enhance productivity, precision, and sustainability in agriculture.

RoboticsAutomation Solutions